TML-Skills ⚡️

Unlock the Hidden Potential of Your AI Agent

Features • Skills Gallery • Quick Start • Contributing

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💡 What is TML-Skills?

TML-Skills (Trend, Magic, Logic) is a curated collection of high-quality, production-ready AI Skills designed for Trae IDE.

Unlike generic prompts, these skills are engineered with industry best practices, domain knowledge, and viral logic. They turn your AI assistant from a junior coder into a domain expert.

"Don't just prompt. Skill up."

✨ Features

• 🧠 Domain Expert Logic: Each skill is backed by real-world research and expert workflows.
• 🔌 Plug & Play: Drop them into your .trae/skills folder and start using them instantly.
• 📈 Growth Hacking: Built-in logic for viral content creation (e.g., Xiaohongshu, TikTok).
• 🎨 Aesthetic First: We prioritize output quality, structure, and visual appeal.

📦 Skills Gallery

Please check out our full Skills Catalog for a complete list of available skills and their documentation.

🚀 Quick Start

Get these skills into your Trae IDE in seconds.

Option A: The "Pro" Way (Git Clone)

Recommended for easy updates.

# 1. Go to your Trae skills directory
cd .trae/skills

# 2. Clone this repository
git clone https://github.com/Time-Machine-Lab/TML-Skills.git

Option B: The "Lazy" Way (npx degit)

Download without git history (requires Node.js).

# Run this in your project root
npx degit Time-Machine-Lab/TML-Skills .trae/skills/TML-Skills

Option C: Manual Install

1. Download the .zip of this repo.
2. Extract the folders inside .trae/skills/ to your project's .trae/skills/ directory.
3. Reload Trae.

🕹️ Usage

Once installed, simply open a chat in Trae and type:

"I want to create a Xiaohongshu post about Cyberpunk City."

The AI will automatically detect the intent and invoke the xiaohongshu-niche-wallpaper skill to assist you.

🤝 Contributing

Got a cool skill idea? We'd love to see it!

1. Fork this repository.
2. Create your skill folder in .trae/skills/.
3. Add a SKILL.md with clear instructions.
4. Submit a Pull Request.

📄 License

This project is licensed under the MIT License.

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Made with ❤️ by TML Team